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Connection

Maryellen Giger to Humans

This is a "connection" page, showing publications Maryellen Giger has written about Humans.
Connection Strength

1.271
  1. Multimodal data curation via interoperability: use cases with the Medical Imaging and Data Resource Center. Sci Data. 2025 Aug 01; 12(1):1340.
    View in: PubMed
    Score: 0.030
  2. Multi-institutional development and testing of attention-enhanced deep learning segmentation of thyroid nodules on ultrasound. Int J Comput Assist Radiol Surg. 2025 Feb; 20(2):259-267.
    View in: PubMed
    Score: 0.029
  3. Role of sureness in evaluating AI/CADx: Lesion-based repeatability of machine learning classification performance on breast MRI. Med Phys. 2024 Mar; 51(3):1812-1821.
    View in: PubMed
    Score: 0.026
  4. Evaluation of emphysema on thoracic low-dose CTs through attention-based multiple instance deep learning. Sci Rep. 2023 01 21; 13(1):1187.
    View in: PubMed
    Score: 0.025
  5. Past, Present, and Future of Machine Learning and Artificial Intelligence for Breast Cancer Screening. J Breast Imaging. 2022 Oct 10; 4(5):451-459.
    View in: PubMed
    Score: 0.025
  6. Comment on "Machine Learning for Early Detection of Hypoxic-Ischemic Brain Injury After Cardiac Arrest" Submitted by Noah Salomon Molinski et al. Neurocrit Care. 2022 08; 37(1):365-366.
    View in: PubMed
    Score: 0.024
  7. A review of explainable and interpretable AI with applications in COVID-19 imaging. Med Phys. 2022 Jan; 49(1):1-14.
    View in: PubMed
    Score: 0.023
  8. Machine Learning for Early Detection of Hypoxic-Ischemic Brain Injury After Cardiac Arrest. Neurocrit Care. 2022 06; 36(3):974-982.
    View in: PubMed
    Score: 0.023
  9. Report from the RSNA COVID-19 Task Force: COVID-19 Impact on Academic Radiology Research-A Survey of Vice Chairs of Research. J Am Coll Radiol. 2022 02; 19(2 Pt A):304-309.
    View in: PubMed
    Score: 0.023
  10. Clinical Artificial Intelligence Applications: Breast Imaging. Radiol Clin North Am. 2021 Nov; 59(6):1027-1043.
    View in: PubMed
    Score: 0.023
  11. Robustness of radiomic features of benign breast lesions and hormone receptor positive/HER2-negative cancers across DCE-MR magnet strengths. Magn Reson Imaging. 2021 10; 82:111-121.
    View in: PubMed
    Score: 0.023
  12. Artificial Intelligence and Cellular Segmentation in Tissue Microscopy Images. Am J Pathol. 2021 10; 191(10):1693-1701.
    View in: PubMed
    Score: 0.023
  13. Quantifying the effects of biopsy fixation and staining panel design on automatic instance segmentation of immune cells in human lupus nephritis. J Biomed Opt. 2021 01; 26(2).
    View in: PubMed
    Score: 0.022
  14. A deep learning methodology for improved breast cancer diagnosis using multiparametric MRI. Sci Rep. 2020 06 29; 10(1):10536.
    View in: PubMed
    Score: 0.021
  15. Independent validation of machine learning in diagnosing breast Cancer on magnetic resonance imaging within a single institution. Cancer Imaging. 2019 Sep 18; 19(1):64.
    View in: PubMed
    Score: 0.020
  16. Artificial intelligence in the interpretation of breast cancer on MRI. J Magn Reson Imaging. 2020 05; 51(5):1310-1324.
    View in: PubMed
    Score: 0.020
  17. Radiomics robustness assessment and classification evaluation: A two-stage method demonstrated on multivendor FFDM. Med Phys. 2019 May; 46(5):2145-2156.
    View in: PubMed
    Score: 0.019
  18. Digital Mammography in Breast Cancer: Additive Value of Radiomics of Breast Parenchyma. Radiology. 2019 04; 291(1):15-20.
    View in: PubMed
    Score: 0.019
  19. Deep learning in medical imaging and radiation therapy. Med Phys. 2019 Jan; 46(1):e1-e36.
    View in: PubMed
    Score: 0.019
  20. Opportunities and challenges to utilization of quantitative imaging: Report of the AAPM practical big data workshop. Med Phys. 2018 Oct; 45(10):e820-e828.
    View in: PubMed
    Score: 0.019
  21. Transfer Learning From Convolutional Neural Networks for Computer-Aided Diagnosis: A Comparison of Digital Breast Tomosynthesis and Full-Field Digital Mammography. Acad Radiol. 2019 06; 26(6):735-743.
    View in: PubMed
    Score: 0.019
  22. Additive Benefit of Radiomics Over Size Alone in the Distinction Between Benign Lesions and Luminal A Cancers on a Large Clinical Breast MRI Dataset. Acad Radiol. 2019 02; 26(2):202-209.
    View in: PubMed
    Score: 0.018
  23. Most-enhancing tumor volume by MRI radiomics predicts recurrence-free survival "early on" in neoadjuvant treatment of breast cancer. Cancer Imaging. 2018 Apr 13; 18(1):12.
    View in: PubMed
    Score: 0.018
  24. Machine Learning in Medical Imaging. J Am Coll Radiol. 2018 03; 15(3 Pt B):512-520.
    View in: PubMed
    Score: 0.018
  25. A deep feature fusion methodology for breast cancer diagnosis demonstrated on three imaging modality datasets. Med Phys. 2017 Oct; 44(10):5162-5171.
    View in: PubMed
    Score: 0.017
  26. MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays. Radiology. 2016 Nov; 281(2):382-391.
    View in: PubMed
    Score: 0.016
  27. Automated Breast Ultrasound in Breast Cancer Screening of Women With Dense Breasts: Reader Study of Mammography-Negative and Mammography-Positive Cancers. AJR Am J Roentgenol. 2016 Jun; 206(6):1341-50.
    View in: PubMed
    Score: 0.016
  28. Using computer-extracted image phenotypes from tumors on breast magnetic resonance imaging to predict breast cancer pathologic stage. Cancer. 2016 Mar 01; 122(5):748-57.
    View in: PubMed
    Score: 0.015
  29. Using quantitative image analysis to classify axillary lymph nodes on breast MRI: a new application for the Z 0011 Era. Eur J Radiol. 2015 Mar; 84(3):392-397.
    View in: PubMed
    Score: 0.014
  30. Relationships between computer-extracted mammographic texture pattern features and BRCA1/2 mutation status: a cross-sectional study. Breast Cancer Res. 2014; 16(4):424.
    View in: PubMed
    Score: 0.014
  31. Computerized detection of breast cancer on automated breast ultrasound imaging of women with dense breasts. Med Phys. 2014 Jan; 41(1):012901.
    View in: PubMed
    Score: 0.013
  32. Breast image analysis for risk assessment, detection, diagnosis, and treatment of cancer. Annu Rev Biomed Eng. 2013; 15:327-57.
    View in: PubMed
    Score: 0.013
  33. Interreader scoring variability in an observer study using dual-modality imaging for breast cancer detection in women with dense breasts. Acad Radiol. 2013 Jul; 20(7):847-53.
    View in: PubMed
    Score: 0.013
  34. Repeatability in computer-aided diagnosis: application to breast cancer diagnosis on sonography. Med Phys. 2010 Jun; 37(6):2659-69.
    View in: PubMed
    Score: 0.011
  35. Radiographic texture analysis of densitometric calcaneal images: relationship to clinical characteristics and to bone fragility. J Bone Miner Res. 2010 Jan; 25(1):56-63.
    View in: PubMed
    Score: 0.010
  36. Update on the potential of computer-aided diagnosis for breast cancer. Future Oncol. 2010 Jan; 6(1):1-4.
    View in: PubMed
    Score: 0.010
  37. Automated method for improving system performance of computer-aided diagnosis in breast ultrasound. IEEE Trans Med Imaging. 2009 Jan; 28(1):122-8.
    View in: PubMed
    Score: 0.010
  38. Anniversary paper: History and status of CAD and quantitative image analysis: the role of Medical Physics and AAPM. Med Phys. 2008 Dec; 35(12):5799-820.
    View in: PubMed
    Score: 0.009
  39. Breast US computer-aided diagnosis workstation: performance with a large clinical diagnostic population. Radiology. 2008 Aug; 248(2):392-7.
    View in: PubMed
    Score: 0.009
  40. Reproducibility and sources of variability in radiographic texture analysis of densitometric calcaneal images. J Clin Densitom. 2008 Apr-Jun; 11(2):211-20.
    View in: PubMed
    Score: 0.009
  41. Region-of-interest reconstruction of motion-contaminated data using a weighted backprojection filtration algorithm. Med Phys. 2006 May; 33(5):1222-38.
    View in: PubMed
    Score: 0.008
  42. Multimodality computerized diagnosis of breast lesions using mammography and sonography. Acad Radiol. 2005 Aug; 12(8):970-9.
    View in: PubMed
    Score: 0.008
  43. Identifying features of prior hemorrhage in cerebral cavernous malformations on quantitative susceptibility maps: a machine learning pilot study. J Neurosurg. 2025 Dec 01; 143(6):1567-1574.
    View in: PubMed
    Score: 0.007
  44. Hybrid artificial intelligence echogenic components-based diagnosis of adnexal masses on ultrasound. Med Phys. 2025 Jul; 52(7):e17983.
    View in: PubMed
    Score: 0.007
  45. Update on the potential role of CAD in radiologic interpretations: are we making progress?. Acad Radiol. 2005 Jun; 12(6):669-70.
    View in: PubMed
    Score: 0.007
  46. Enabling global image data sharing in the life sciences. Nat Methods. 2025 Apr; 22(4):672-676.
    View in: PubMed
    Score: 0.007
  47. AI integrations with lung cancer screening: Considerations in developing AI in a public health setting. Eur J Cancer. 2025 May 02; 220:115345.
    View in: PubMed
    Score: 0.007
  48. Action plan for an international imaging framework for implementation of global low-dose CT screening for lung cancer. Eur J Cancer. 2025 May 02; 220:115323.
    View in: PubMed
    Score: 0.007
  49. Brain Imaging Features in Patients with Gunshot Wounds to the Head. J Neurotrauma. 2025 Apr; 42(7-8):689-699.
    View in: PubMed
    Score: 0.007
  50. Paradigm shift in early detection: Lung cancer screening to comprehensive CT screening. Eur J Cancer. 2025 Mar 11; 218:115264.
    View in: PubMed
    Score: 0.007
  51. Computerized analysis of images in the detection and diagnosis of breast cancer. Semin Ultrasound CT MR. 2004 Oct; 25(5):411-8.
    View in: PubMed
    Score: 0.007
  52. A Guideline for Open-Source Tools to Make Medical Imaging Data Ready for Artificial Intelligence Applications: A Society of Imaging Informatics in Medicine (SIIM) Survey. J Imaging Inform Med. 2024 Oct; 37(5):2015-2024.
    View in: PubMed
    Score: 0.007
  53. Can AI generate diagnostic reports for radiologist approval on CXR images? A multi-reader and multi-case observer performance study. J Xray Sci Technol. 2024; 32(6):1465-1480.
    View in: PubMed
    Score: 0.007
  54. Pilot study of machine learning in the task of distinguishing high and low-grade pediatric hydronephrosis on ultrasound. Investig Clin Urol. 2023 11; 64(6):588-596.
    View in: PubMed
    Score: 0.007
  55. Biomedical Imaging Research Opportunities Workshop: report and recommendations overview of the workshop. Acad Radiol. 2003 Aug; 10(8):882-6.
    View in: PubMed
    Score: 0.007
  56. Patient-specific fetal radiation dosimetry for pregnant patients undergoing abdominal and pelvic CT imaging. Med Phys. 2023 Jun; 50(6):3801-3815.
    View in: PubMed
    Score: 0.006
  57. Differences in Molecular Subtype Reference Standards Impact AI-based Breast Cancer Classification with Dynamic Contrast-enhanced MRI. Radiology. 2023 04; 307(1):e220984.
    View in: PubMed
    Score: 0.006
  58. AAPM Task Group 298: Recommendations on certificate program/alternative pathway candidate education and training. J Appl Clin Med Phys. 2022 Dec; 23(12):e13777.
    View in: PubMed
    Score: 0.006
  59. Construction of a digital fetus library for radiation dosimetry. Med Phys. 2023 Apr; 50(4):2577-2589.
    View in: PubMed
    Score: 0.006
  60. Specific in situ inflammatory states associate with progression to renal failure in lupus nephritis. J Clin Invest. 2022 07 01; 132(13).
    View in: PubMed
    Score: 0.006
  61. Advancing Research on Medical Image Perception by Strengthening Multidisciplinary Collaboration. JNCI Cancer Spectr. 2022 01 05; 6(1).
    View in: PubMed
    Score: 0.006
  62. Computer-aided diagnosis in radiology. Acad Radiol. 2002 Jan; 9(1):1-3.
    View in: PubMed
    Score: 0.006
  63. Computer-aided diagnosis in medical imaging. IEEE Trans Med Imaging. 2001 Dec; 20(12):1205-8.
    View in: PubMed
    Score: 0.006
  64. Anatomic Point-Based Lung Region with Zone Identification for Radiologist Annotation and Machine Learning for Chest Radiographs. J Digit Imaging. 2021 08; 34(4):922-931.
    View in: PubMed
    Score: 0.006
  65. Artificial Intelligence: reshaping the practice of radiological sciences in the 21st century. Br J Radiol. 2020 Feb 01; 93(1106):20190855.
    View in: PubMed
    Score: 0.005
  66. Tailoring steroids in the treatment of COVID-19 pneumonia assisted by CT scans: three case reports. J Xray Sci Technol. 2020; 28(5):885-892.
    View in: PubMed
    Score: 0.005
  67. Computerized analysis of lesions in US images of the breast. Acad Radiol. 1999 Nov; 6(11):665-74.
    View in: PubMed
    Score: 0.005
  68. Feature selection with limited datasets. Med Phys. 1999 Oct; 26(10):2176-82.
    View in: PubMed
    Score: 0.005
  69. Radiogenomics of breast cancer using dynamic contrast enhanced MRI and gene expression profiling. Cancer Imaging. 2019 Jul 15; 19(1):48.
    View in: PubMed
    Score: 0.005
  70. Quantifying in situ adaptive immune cell cognate interactions in humans. Nat Immunol. 2019 04; 20(4):503-513.
    View in: PubMed
    Score: 0.005
  71. Artificial intelligence in cancer imaging: Clinical challenges and applications. CA Cancer J Clin. 2019 03; 69(2):127-157.
    View in: PubMed
    Score: 0.005
  72. Combined Benefit of Quantitative Three-Compartment Breast Image Analysis and Mammography Radiomics in the Classification of Breast Masses in a Clinical Data Set. Radiology. 2019 03; 290(3):621-628.
    View in: PubMed
    Score: 0.005
  73. Relationships Between Human-Extracted MRI Tumor Phenotypes of Breast Cancer and Clinical Prognostic Indicators Including Receptor Status and Molecular Subtype. Curr Probl Diagn Radiol. 2019 Sep - Oct; 48(5):467-472.
    View in: PubMed
    Score: 0.005
  74. Automated seeded lesion segmentation on digital mammograms. IEEE Trans Med Imaging. 1998 Aug; 17(4):510-7.
    View in: PubMed
    Score: 0.005
  75. [Prevalence of upper abdominal complaints and their effect on the quality of life and utilization of medical resources. Swiss Primary Care Group]. Schweiz Med Wochenschr. 1998 May 30; 128(22):874-9.
    View in: PubMed
    Score: 0.005
  76. Moonshot Acceleration Factor: Medical Imaging. Cancer Res. 2017 11 01; 77(21):5717-5720.
    View in: PubMed
    Score: 0.004
  77. Development of an improved CAD scheme for automated detection of lung nodules in digital chest images. Med Phys. 1997 Sep; 24(9):1395-403.
    View in: PubMed
    Score: 0.004
  78. Fast bilateral breast coverage with high spectral and spatial resolution (HiSS) MRI at 3T. J Magn Reson Imaging. 2017 11; 46(5):1341-1348.
    View in: PubMed
    Score: 0.004
  79. Computer-aided methods help cancer diagnoses. Diagn Imaging (San Franc). 1996 Nov; Suppl Digital X:D17-20.
    View in: PubMed
    Score: 0.004
  80. Bcl-2 as a Therapeutic Target in Human Tubulointerstitial Inflammation. Arthritis Rheumatol. 2016 11; 68(11):2740-2751.
    View in: PubMed
    Score: 0.004
  81. Advances in tumor imaging. Sci Am. 1996 Sep; 275(3):110-2.
    View in: PubMed
    Score: 0.004
  82. Clinical significance of noncalcified lung nodules in patients with breast cancer. Breast Cancer Res Treat. 2016 Sep; 159(2):265-71.
    View in: PubMed
    Score: 0.004
  83. Image processing and computer-aided diagnosis. Radiol Clin North Am. 1996 May; 34(3):565-96.
    View in: PubMed
    Score: 0.004
  84. Response. Radiology. 2016 Feb; 278(2):633.
    View in: PubMed
    Score: 0.004
  85. Portable chest radiography techniques and teleradiology. Radiol Clin North Am. 1996 Jan; 34(1):1-20.
    View in: PubMed
    Score: 0.004
  86. Deciphering Genomic Underpinnings of Quantitative MRI-based Radiomic Phenotypes of Invasive Breast Carcinoma. Sci Rep. 2015 Dec 07; 5:17787.
    View in: PubMed
    Score: 0.004
  87. Detection of lung nodules in digital chest radiographs using artificial neural networks: a pilot study. J Digit Imaging. 1995 May; 8(2):88-94.
    View in: PubMed
    Score: 0.004
  88. Long-term results of microcoil embolization for colonic haemorrhage: how common is rebleeding? Br J Radiol. 2015 Jul; 88(1051):20150203.
    View in: PubMed
    Score: 0.004
  89. Radiologically Guided Placement of Mushroom-retained Gastrostomy Catheters: Long-term Outcomes of Use in 300 Patients at a Single Center. Radiology. 2015 Aug; 276(2):588-96.
    View in: PubMed
    Score: 0.004
  90. Dual-lumen chest port infection rates in patients with head and neck cancer. Cardiovasc Intervent Radiol. 2015 Jun; 38(3):651-6.
    View in: PubMed
    Score: 0.004
  91. Quantitative imaging biomarkers: a review of statistical methods for computer algorithm comparisons. Stat Methods Med Res. 2015 Feb; 24(1):68-106.
    View in: PubMed
    Score: 0.003
  92. Comparison of barbed versus conventional sutures for wound closure of radiologically implanted chest ports. J Vasc Interv Radiol. 2014 Sep; 25(9):1433-8.
    View in: PubMed
    Score: 0.003
  93. Cell distance mapping identifies functional T follicular helper cells in inflamed human renal tissue. Sci Transl Med. 2014 Apr 02; 6(230):230ra46.
    View in: PubMed
    Score: 0.003
  94. Computerized detection of pulmonary nodules in computed tomography images. Invest Radiol. 1994 Apr; 29(4):459-65.
    View in: PubMed
    Score: 0.003
  95. Level set segmentation of breast masses in contrast-enhanced dedicated breast CT and evaluation of stopping criteria. J Digit Imaging. 2014 Apr; 27(2):237-47.
    View in: PubMed
    Score: 0.003
  96. Computerized characterization of mammographic masses: analysis of spiculation. Cancer Lett. 1994 Mar 15; 77(2-3):201-11.
    View in: PubMed
    Score: 0.003
  97. Mammographic quantitative image analysis and biologic image composition for breast lesion characterization and classification. Med Phys. 2014 Mar; 41(3):031915.
    View in: PubMed
    Score: 0.003
  98. Pilot study demonstrating potential association between breast cancer image-based risk phenotypes and genomic biomarkers. Med Phys. 2014 Mar; 41(3):031917.
    View in: PubMed
    Score: 0.003
  99. Computer vision and artificial intelligence in mammography. AJR Am J Roentgenol. 1994 Mar; 162(3):699-708.
    View in: PubMed
    Score: 0.003
  100. Digital image subtraction of temporally sequential chest images for detection of interval change. Med Phys. 1994 Mar; 21(3):453-61.
    View in: PubMed
    Score: 0.003
  101. Validation of quantitative analysis of multiparametric prostate MR images for prostate cancer detection and aggressiveness assessment: a cross-imager study. Radiology. 2014 May; 271(2):461-71.
    View in: PubMed
    Score: 0.003
  102. Potential of computer-aided diagnosis of high spectral and spatial resolution (HiSS) MRI in the classification of breast lesions. J Magn Reson Imaging. 2014 Jan; 39(1):59-67.
    View in: PubMed
    Score: 0.003
  103. [Are classical medicine and alternative medicine compatible?]. Schweiz Rundsch Med Prax. 1993 Jun 22; 82(25-26):731-4.
    View in: PubMed
    Score: 0.003
  104. Computers aid diagnosis of breast abnormalities. Diagn Imaging (San Franc). 1993 Jun; 15(6):98-102, 113.
    View in: PubMed
    Score: 0.003
  105. An "intelligent" workstation for computer-aided diagnosis. Radiographics. 1993 May; 13(3):647-56.
    View in: PubMed
    Score: 0.003
  106. Simulation studies of data classification by artificial neural networks: potential applications in medical imaging and decision making. J Digit Imaging. 1993 May; 6(2):117-25.
    View in: PubMed
    Score: 0.003
  107. Quantitative ultrasound image analysis of axillary lymph node status in breast cancer patients. Int J Comput Assist Radiol Surg. 2013 Nov; 8(6):895-903.
    View in: PubMed
    Score: 0.003
  108. Quantitative analysis of multiparametric prostate MR images: differentiation between prostate cancer and normal tissue and correlation with Gleason score--a computer-aided diagnosis development study. Radiology. 2013 Jun; 267(3):787-96.
    View in: PubMed
    Score: 0.003
  109. Computerized analysis of mammographic parenchymal patterns on a large clinical dataset of full-field digital mammograms: robustness study with two high-risk datasets. J Digit Imaging. 2012 Oct; 25(5):591-8.
    View in: PubMed
    Score: 0.003
  110. A scaling transformation for classifier output based on likelihood ratio: applications to a CAD workstation for diagnosis of breast cancer. Med Phys. 2012 May; 39(5):2787-804.
    View in: PubMed
    Score: 0.003
  111. Automated detection of mass lesions in dedicated breast CT: a preliminary study. Med Phys. 2012 Feb; 39(2):866-73.
    View in: PubMed
    Score: 0.003
  112. Re: effectiveness of computer-aided detection in community mammography practice. J Natl Cancer Inst. 2012 Jan 04; 104(1):77; author reply 78-9.
    View in: PubMed
    Score: 0.003
  113. Computerized three-class classification of MRI-based prognostic markers for breast cancer. Phys Med Biol. 2011 Sep 21; 56(18):5995-6008.
    View in: PubMed
    Score: 0.003
  114. Combined use of T2-weighted MRI and T1-weighted dynamic contrast-enhanced MRI in the automated analysis of breast lesions. Magn Reson Med. 2011 Aug; 66(2):555-64.
    View in: PubMed
    Score: 0.003
  115. Normal parenchymal enhancement patterns in women undergoing MR screening of the breast. Eur Radiol. 2011 Jul; 21(7):1374-82.
    View in: PubMed
    Score: 0.003
  116. Quantitative imaging test approval and biomarker qualification: interrelated but distinct activities. Radiology. 2011 Jun; 259(3):875-84.
    View in: PubMed
    Score: 0.003
  117. Evaluation of clinical breast MR imaging performed with prototype computer-aided diagnosis breast MR imaging workstation: reader study. Radiology. 2011 Mar; 258(3):696-704.
    View in: PubMed
    Score: 0.003
  118. Computerized method for evaluating diagnostic image quality of calcified plaque images in cardiac CT: validation on a physical dynamic cardiac phantom. Med Phys. 2010 Nov; 37(11):5777-86.
    View in: PubMed
    Score: 0.003
  119. Multimodality computer-aided breast cancer diagnosis with FFDM and DCE-MRI. Acad Radiol. 2010 Sep; 17(9):1158-67.
    View in: PubMed
    Score: 0.003
  120. Computerized detection of pulmonary nodules in digital chest images: use of morphological filters in reducing false-positive detections. Med Phys. 1990 Sep-Oct; 17(5):861-5.
    View in: PubMed
    Score: 0.003
  121. Enhancement of breast CADx with unlabeled data. Med Phys. 2010 Aug; 37(8):4155-72.
    View in: PubMed
    Score: 0.003
  122. Computerized assessment of breast lesion malignancy using DCE-MRI robustness study on two independent clinical datasets from two manufacturers. Acad Radiol. 2010 Jul; 17(7):822-9.
    View in: PubMed
    Score: 0.003
  123. Cancerous breast lesions on dynamic contrast-enhanced MR images: computerized characterization for image-based prognostic markers. Radiology. 2010 Mar; 254(3):680-90.
    View in: PubMed
    Score: 0.003
  124. Pulmonary nodules: computer-aided detection in digital chest images. Radiographics. 1990 Jan; 10(1):41-51.
    View in: PubMed
    Score: 0.003
  125. Exploring nonlinear feature space dimension reduction and data representation in breast Cadx with Laplacian eigenmaps and t-SNE. Med Phys. 2010 Jan; 37(1):339-51.
    View in: PubMed
    Score: 0.003
  126. Breast US computer-aided diagnosis system: robustness across urban populations in South Korea and the United States. Radiology. 2009 Dec; 253(3):661-71.
    View in: PubMed
    Score: 0.003
  127. A novel hybrid linear/nonlinear classifier for two-class classification: theory, algorithm, and applications. IEEE Trans Med Imaging. 2010 Feb; 29(2):428-41.
    View in: PubMed
    Score: 0.003
  128. Investigation of basic imaging properties in digital radiography. 13. Effect of simple structured noise on the detectability of simulated stenotic lesions. Med Phys. 1989 Jan-Feb; 16(1):14-21.
    View in: PubMed
    Score: 0.002
  129. Correlative feature analysis on FFDM. Med Phys. 2008 Dec; 35(12):5490-500.
    View in: PubMed
    Score: 0.002
  130. Evaluation of computer-aided diagnosis on a large clinical full-field digital mammographic dataset. Acad Radiol. 2008 Nov; 15(11):1437-45.
    View in: PubMed
    Score: 0.002
  131. Prevalence scaling: applications to an intelligent workstation for the diagnosis of breast cancer. Acad Radiol. 2008 Nov; 15(11):1446-57.
    View in: PubMed
    Score: 0.002
  132. Performance of breast ultrasound computer-aided diagnosis: dependence on image selection. Acad Radiol. 2008 Oct; 15(10):1234-45.
    View in: PubMed
    Score: 0.002
  133. DCEMRI of breast lesions: is kinetic analysis equally effective for both mass and nonmass-like enhancement? Med Phys. 2008 Jul; 35(7):3102-9.
    View in: PubMed
    Score: 0.002
  134. Image feature analysis and computer-aided diagnosis in digital radiography. 3. Automated detection of nodules in peripheral lung fields. Med Phys. 1988 Mar-Apr; 15(2):158-66.
    View in: PubMed
    Score: 0.002
  135. Potential effect of different radiologist reporting methods on studies showing benefit of CAD. Acad Radiol. 2008 Feb; 15(2):139-52.
    View in: PubMed
    Score: 0.002
  136. Radiographic texture analysis in the characterization of trabecular patterns in periprosthetic osteolysis. Acad Radiol. 2008 Feb; 15(2):176-85.
    View in: PubMed
    Score: 0.002
  137. Power spectral analysis of mammographic parenchymal patterns for breast cancer risk assessment. J Digit Imaging. 2008 Jun; 21(2):145-52.
    View in: PubMed
    Score: 0.002
  138. Temporal radiographic texture analysis in the detection of periprosthetic osteolysis. Med Phys. 2008 Jan; 35(1):377-87.
    View in: PubMed
    Score: 0.002
  139. Feature-based characterization of motion-contaminated calcified plaques in cardiac multidetector CT. Med Phys. 2007 Dec; 34(12):4860-75.
    View in: PubMed
    Score: 0.002
  140. Computerized assessment of motion-contaminated calcified plaques in cardiac multidetector CT. Med Phys. 2007 Dec; 34(12):4876-89.
    View in: PubMed
    Score: 0.002
  141. A dual-stage method for lesion segmentation on digital mammograms. Med Phys. 2007 Nov; 34(11):4180-93.
    View in: PubMed
    Score: 0.002
  142. Volumetric texture analysis of breast lesions on contrast-enhanced magnetic resonance images. Magn Reson Med. 2007 Sep; 58(3):562-71.
    View in: PubMed
    Score: 0.002
  143. Effect of pixel size on detectability of low-contrast signals in digital radiography. J Opt Soc Am A. 1987 May; 4(5):966-75.
    View in: PubMed
    Score: 0.002
  144. Fractal analysis of mammographic parenchymal patterns in breast cancer risk assessment. Acad Radiol. 2007 May; 14(5):513-21.
    View in: PubMed
    Score: 0.002
  145. Investigation of basic imaging properties in digital radiography 10. Structure mottle of II-TV digital imaging systems. Med Phys. 1986 Nov-Dec; 13(6):843-9.
    View in: PubMed
    Score: 0.002
  146. Classification of breast lesions with multimodality computer-aided diagnosis: observer study results on an independent clinical data set. Radiology. 2006 Aug; 240(2):357-68.
    View in: PubMed
    Score: 0.002
  147. Automatic identification and classification of characteristic kinetic curves of breast lesions on DCE-MRI. Med Phys. 2006 Aug; 33(8):2878-87.
    View in: PubMed
    Score: 0.002
  148. Radiographic texture analysis of densitometer-generated calcaneus images differentiates postmenopausal women with and without fractures. Osteoporos Int. 2006 Oct; 17(10):1472-82.
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